ArticlePeerJ2026
Development and validation of an inflammatory-immune-nutritional integrated scoring system: a novel strategy for predicting postoperative survival in non-small cell lung cancer.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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3 authors.
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Abstract
Background: Accurate prognosis prediction is crucial for managing non-small cell lung cancer (NSCLC). Tumor heterogeneity limits the predictive power of traditional tumor lymph node metastasis (TNM) staging alone. The interplay between inflammation, immunity, and nutrition in the tumor microenvironment offers a potential source of novel prognostic biomarkers. Methods: This multicenter retrospective study enrolled 473 stage I-IIIA NSCLC patients who underwent radical resection. An inflammatory-immune-nutritional integrated scoring system (IINS) was developed using Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression from preoperative hematological parameters. The model was validated internally ( Results: The IINS was formulated based on platelet-to-lymphocyte ratio (PLR), systemic inflammatory response index (SIRI), and prognostic nutritional index (PNI). Patients were stratified into high- and low-IINS groups using an optimal cutoff of 4.9. Multivariate analysis identified IINS as an independent prognostic factor for both overall survival (OS) (HR = 1.63, 95% CI [1.17-2.26], Conclusions: The novel IINS, integrating inflammatory, immune, and nutritional status, is a robust independent prognostic indicator for resected NSCLC. The developed nomogram provides a user-friendly and accurate tool for predicting postoperative survival, potentially aiding in risk stratification and personalized adjuvant therapy decisions.
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